AI Risk Engine — Deep neural networks transparently analyze biometric, non-biometric, and other available data to make intelligent authentication and fraud risk assessments:

• Voice biometrics (Analyze a person’s unique voice signature, including physical and speech delivery factors.

• Conversational biometrics (Analyze how a person uses language, including word choice, grammar, emojis, and acronyms.

• Call validation: Inspect every call’s path from inside the phone network to detect ANI spoofing, virtualized calls, and other threats pre‑answer.
• Anti-spoofing: Prevent attackers from imitating or parodying legitimate customers via synthetic speech, playback, and other methods.
• Environment detection: Interrogate device, network, and location signals for trustworthiness, identifying suspicious activity and signs of fraud.
• Environment detection: Interrogate device, network, and location signals for trustworthiness, identifying suspicious activity and signs of fraud.